한빛사논문
- 조회114
Hyun Woong Roh 1, Nishant Chauhan 2, Sang Won Seo 3, Seong Hye Choi 4, Eun-Joo Kim 5, Soo Hyun Cho 6, Byeong C Kim 6, Jin Wook Choi 7, Young-Sil An 8, Bumhee Park 9,10, Sun Min Lee 11, So Young Moon 11, You Jin Nam 1, Sunhwa Hong 1, Sang Joon Son 1, Chang Hyung Hong 1, Dongha Lee 2
1Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
2Cognitive Science Research Group, Korea Brain Research Institute, Daegu, Republic of Korea.
3Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
4Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
5Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea.
6Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
7Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
8Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Republic of Korea.
9Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
10Office of Biostatistics, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea.
11Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
Hyun Woong Roh and Dongha Lee equally contributed to this study and are the co-first authors.
CORRESPONDING AUTHORS: Sang Joon Son, Chang Hyung Hong, Dongha Lee
Abstract
Introduction: This study aimed to explore the potential of whole brain white matter patterns as novel neuroimaging biomarkers for assessing cognitive impairment and disability in older adults.
Methods: We conducted an in-depth analysis of magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) scans in 454 participants, focusing on white matter patterns and white matter inter-subject variability (WM-ISV).
Results: The white matter pattern ensemble model, combining MRI and amyloid PET, demonstrated a significantly higher classification performance for cognitive impairment and disability. Participants with Alzheimer's disease (AD) exhibited higher WM-ISV than participants with subjective cognitive decline, mild cognitive impairment, and vascular dementia. Furthermore, WM-ISV correlated significantly with blood-based biomarkers (such as glial fibrillary acidic protein and phosphorylated tau-217 [p-tau217]), and cognitive function and disability scores.
Discussion: Our results suggest that white matter pattern analysis has significant potential as an adjunct neuroimaging biomarker for clinical decision-making and determining cognitive impairment and disability.
Highlights: The ensemble model combined both magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) and demonstrated a significantly higher classification performance for cognitive impairment and disability. Alzheimer's disease (AD) revealed a notably higher heterogeneity compared to that in subjective cognitive decline, mild cognitive impairment, or vascular dementia. White matter inter-subject variability (WM-ISV) was significantly correlated with blood-based biomarkers (glial fibrillary acidic protein and phosphorylated tau-217 [p-tau217]) and with the polygenic risk score for AD. White matter pattern analysis has significant potential as an adjunct neuroimaging biomarker for clinical decision-making processes and determining cognitive impairment and disability.
논문정보
- Research article
- 2024년 07월 (BRIC 등록일 2024-07-15)
- 국내 연구진
- 바이오·의료융합 > 뇌인지과학
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